Joint Extraction Model of Entities and Events
Can Tian, Yawei Zhao, Liang Ren
Available Online April 2019.
- https://doi.org/10.2991/icmeit-19.2019.117How to use a DOI?
- entity recognition, event extraction, the joint model.
- Joint extraction of entities and events is an important task in information extraction. In order to obtain entities and events in the text simultaneously, in this paper we firstly propose a novel tagging scheme that can transform the joint extraction task to a tagging problem. Then, based on our tagging scheme, we use different end-to-end models to extract entities and events directly and we also propose an improved objective function with different parameters to express the importance of different labels. We conduct experiments on a financial dataset and the results show that our methods are better than other existing models.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Can Tian AU - Yawei Zhao AU - Liang Ren PY - 2019/04 DA - 2019/04 TI - Joint Extraction Model of Entities and Events PB - Atlantis Press SP - 736 EP - 743 SN - 2352-538X UR - https://doi.org/10.2991/icmeit-19.2019.117 DO - https://doi.org/10.2991/icmeit-19.2019.117 ID - Tian2019/04 ER -